• English
    • Norsk
  • English 
    • English
    • Norsk
  • Administration
View Item 
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

MEADOW - a dataflow language for modelling large and dynamic networks

Seehusen, Fredrik
Master thesis
View/Open
thesis13.pdf (602.2Kb)
Year
2003
Permanent link
http://urn.nb.no/URN:NBN:no-6883

Metadata
Show metadata
Appears in the following Collection
  • Institutt for informatikk [3588]
Abstract
We address three main problems regarding the use of the traditional

dataflow language (TDL) for modelling large and dynamic networks:

(1)The problem of scalability. The concepts and notations of TDL do not scale well. Thus TDL specifications may get large (space consuming) and chaotic.

(2)The problem of generality. TDL does not have the expressibility for specifying networks consisting of n (a general number) components. We distinguish between five different network topologies consisting n components that can not be specified in TDL. For point-to-point networks these are the star, ring and tree topologies, for multipoint networks the ring and the bus topologies.

(3)The problem of expressing dynamic reconfiguration. TDL is not well suited for the specification of dynamic networks. We distinguish between three kinds of dynamic networks: object-oriented networks, ad hoc networks, and mobile code networks.

Based on an examination of three state-of-the-art modelling languages

(FOCUS, SDL-2000 and UML 2.0), we propose a language, MEADOW

(ModElling lAnguage for DataflOW) that essentially is an extension of

TDL. Our hypothesis is that MEADOW successfully solves the problems

mentioned above, and we argument by small examples and case studies.
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy
 

 

For students / employeesSubmit master thesisAccess to restricted material

Browse

All of DUOCommunities & CollectionsBy Issue DateAuthorsTitlesThis CollectionBy Issue DateAuthorsTitles

For library staff

Login
RSS Feeds
 
Responsible for this website 
University of Oslo Library


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy